An Ensemble Approach to Anomalous Sound Detection Based on Conformer-Based Autoencoder and Binary Classifier Incorporated with Metric Learning. - Ibuki Kuroyanagi; Tomoki Hayashi; Yusuke Adachi; Takenori Yoshimura; Kazuya Takeda; Tomoki Toda (DCASE, 2021)

Spontaneous Speech Summarization: Transformers All The Way Through. - Tomoki Hayashi; Takenori Yoshimura; Masaya Inuzuka; Ibuki Kuroyanagi; Osamu Segawa (EUSIPCO, 2021)

Anomalous Sound Detection Using a Binary Classification Model and Class Centroids. - Ibuki Kuroyanagi; Tomoki Hayashi; Kazuya Takeda; Tomoki Toda (EUSIPCO, 2021)

Improvement of Serial Approach to Anomalous Sound Detection by Incorporating Two Binary Cross-Entropies for Outlier Exposure. - Ibuki Kuroyanagi; Tomoki Hayashi; Kazuya Takeda; Tomoki Toda (EUSIPCO, 2022)

Self-Supervised Learning Method Using Multiple Sampling Strategies for General-Purpose Audio Representation. - Ibuki Kuroyanagi; Tatsuya Komatsu (ICASSP, 2022)

Improvements of Discriminative Feature Space Training for Anomalous Sound Detection in Unlabeled Conditions. - Takuya Fujimura; Ibuki Kuroyanagi; Tomoki Toda (ICASSP, 2025)

Improving Anomalous Sound Detection through Pseudo-anomalous Set Selection and Pseudo-label Utilization under Unlabeled Conditions. - Ibuki Kuroyanagi; Takuya Fujimura; Kazuya Takeda; Tomoki Toda (CoRR, 2025)

Serial-OE: Anomalous sound detection based on serial method with outlier exposure capable of using small amounts of anomalous data for training. - Ibuki Kuroyanagi; Tomoki Hayashi; Kazuya Takeda; Tomoki Toda (CoRR, 2025)